Mathematical modeling and simulation of biofuel production from lignocellulosic biomass

Renewable energy or biofuel from lignocellulosic biomass is an alternative way to replace the depleting fossil fuels. The production cost can be reduced by increasing the concentration of biomass particles. However, lignocellulosic biomass is a suspension of natural fibers, and processing at high so...

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Main Author: Norazaliza, Mohd Jamil
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/13533/16/Mathematical%20analysis%20of%20a%20kinetic%20model%20for.pdf
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author Norazaliza, Mohd Jamil
author_facet Norazaliza, Mohd Jamil
author_sort Norazaliza, Mohd Jamil
collection UMP
description Renewable energy or biofuel from lignocellulosic biomass is an alternative way to replace the depleting fossil fuels. The production cost can be reduced by increasing the concentration of biomass particles. However, lignocellulosic biomass is a suspension of natural fibers, and processing at high solid concentration is a challenging task because it will affect the mixing quality between enzyme and cellulose particles and the generation of sugars. Thus, understanding factors that affect the rheology of biomass suspension is crucial in order to maximize the production at a minimum cost. Our aim is to develop a solution strategy for the modeling and simulation of high solid concentration of biomass suspension during enzymatic hydrolysis. Also, we intend to develop a multi-scale model for enzymatic hydrolysis that captures the reaction kinetics of cellulose chains in PBE form, cellulose rod orientation and interaction, as well as hydrodynamics and plasticity of the biomass mixture. We extended and improved the established kinetic model proposed by Griggs et al. [Griggs et al., 2012a]. We built the reduced order models by ignoring significantly small terms and determined the approximate solutions by employing asymptotic analysis method. Liquid crystal theory was adopted to study the cellulose fibers. The complete model was solved using DAE-QMOM technique in finite-element software package, COMSOL. Essentially, we made a clear connection between microscopic, mesoscopic, and macroscopic properties of biomass slurries undergoing enzymatic hydrolysis. The results show that the quality of mixing within a reactor is crucial in optimizing the hydrolysis product. Also, the biomass suspension shows non-Newtonian behaviors such as shear thinning, yield stress, and normal stress difference, which is in agreement with experimental results. The extended model improved the predictive capabilities, hence increased our understanding on the behavior of biomass suspension.
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spelling UMPir135332021-11-17T02:22:21Z http://umpir.ump.edu.my/id/eprint/13533/ Mathematical modeling and simulation of biofuel production from lignocellulosic biomass Norazaliza, Mohd Jamil QA Mathematics T Technology (General) Renewable energy or biofuel from lignocellulosic biomass is an alternative way to replace the depleting fossil fuels. The production cost can be reduced by increasing the concentration of biomass particles. However, lignocellulosic biomass is a suspension of natural fibers, and processing at high solid concentration is a challenging task because it will affect the mixing quality between enzyme and cellulose particles and the generation of sugars. Thus, understanding factors that affect the rheology of biomass suspension is crucial in order to maximize the production at a minimum cost. Our aim is to develop a solution strategy for the modeling and simulation of high solid concentration of biomass suspension during enzymatic hydrolysis. Also, we intend to develop a multi-scale model for enzymatic hydrolysis that captures the reaction kinetics of cellulose chains in PBE form, cellulose rod orientation and interaction, as well as hydrodynamics and plasticity of the biomass mixture. We extended and improved the established kinetic model proposed by Griggs et al. [Griggs et al., 2012a]. We built the reduced order models by ignoring significantly small terms and determined the approximate solutions by employing asymptotic analysis method. Liquid crystal theory was adopted to study the cellulose fibers. The complete model was solved using DAE-QMOM technique in finite-element software package, COMSOL. Essentially, we made a clear connection between microscopic, mesoscopic, and macroscopic properties of biomass slurries undergoing enzymatic hydrolysis. The results show that the quality of mixing within a reactor is crucial in optimizing the hydrolysis product. Also, the biomass suspension shows non-Newtonian behaviors such as shear thinning, yield stress, and normal stress difference, which is in agreement with experimental results. The extended model improved the predictive capabilities, hence increased our understanding on the behavior of biomass suspension. 2015 Thesis NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/13533/16/Mathematical%20analysis%20of%20a%20kinetic%20model%20for.pdf Norazaliza, Mohd Jamil (2015) Mathematical modeling and simulation of biofuel production from lignocellulosic biomass. PhD thesis, University of South Carolina (Contributors, UNSPECIFIED: UNSPECIFIED).
spellingShingle QA Mathematics
T Technology (General)
Norazaliza, Mohd Jamil
Mathematical modeling and simulation of biofuel production from lignocellulosic biomass
title Mathematical modeling and simulation of biofuel production from lignocellulosic biomass
title_full Mathematical modeling and simulation of biofuel production from lignocellulosic biomass
title_fullStr Mathematical modeling and simulation of biofuel production from lignocellulosic biomass
title_full_unstemmed Mathematical modeling and simulation of biofuel production from lignocellulosic biomass
title_short Mathematical modeling and simulation of biofuel production from lignocellulosic biomass
title_sort mathematical modeling and simulation of biofuel production from lignocellulosic biomass
topic QA Mathematics
T Technology (General)
url http://umpir.ump.edu.my/id/eprint/13533/16/Mathematical%20analysis%20of%20a%20kinetic%20model%20for.pdf
work_keys_str_mv AT norazalizamohdjamil mathematicalmodelingandsimulationofbiofuelproductionfromlignocellulosicbiomass